Renewals, holidays, and launches don’t need hardcoded rules. With reward signals, eligibility criteria, and timing action sets, agents adapt naturally to recurring patterns.

You don’t coach by chasing the trophy. You coach by tracking whether each play puts you in a stronger position. The same is true for customer engagement.

Schaun Wheeler, Aampe’s Chief Data Scientist and Co-Founder, joins Neural Rec to explain why personalization is a wicked learning problem and how agentic infrastructure adapts like humans do

A/B tests help us see what works on average, but real users aren’t average, their motivations and contexts vary. That’s where agentic learning shines, adapting to individuals over time. The best results come when we layer the two: tests for clarity, agents for personalization.